AI-Powered KR/US Quantitative Trading Node Analysis System (Vibe Coding)

[Let's Build!] Have you ever given up because you were tired of connecting nodes? "Create a daily morning briefing on Slack" — that's all it takes. Claude Code designs it, and the n8n server runs it 24/7 for you. [Let's Operate!] If adopting n8n was easy but managing it felt overwhelming, this lecture is the answer. "Organize everything according to the conventions" — dozens of workflows are tidied up at once. Creation, organization, monitoring, and backup—operate everything using natural language.

I will show you "where to start" through a case study of building a service with non-developers in just one day, and explain "how to manage and collaborate" using the example of designing the GitHub structure for the Selfish Membership team.

Leverage Python to create your own indicators and a convenient tool for securities analysis!

In Part 3 of Creating a Python Trading Room for Quant Investment, you will learn about portfolio theory and concepts necessary for real investment, as well as how to implement them with code. In Parts 1 & 2, you mainly learned about code implementation methods for analyzing financial data, and in Part 3, you will learn about 'portfolios', which are an important part of quantitative investment. With the question of why you should create a portfolio, you will learn portfolio theory, implement it in Python, and practice the code necessary for real portfolio investment. I hope this lecture will be helpful for your own portfolio investment.

Build data-driven investment strategies with Python quant investing and put them into practice. You can implement various asset allocation strategies and ultimately create your own unique investment strategy.

This sharing session was prepared not for those who are already proficient in Claude, but for those who are just starting out and feel overwhelmed by where to begin. We will show you the entire process of a real-world project—from planning and CRM automation to content creation and ad analysis—all handled in one-stop within a single conversation, using actual cases.

"Why does my automated trading system collapse in a falling market?" I, too, spent a great deal of time grappling with the same question. Most automated trading strategies on the market may appear to generate profits during bull markets, but the moment market conditions change, they lose their ability to adapt. To solve this problem, I combined the expertise I developed through two years of hands-on research with the latest AI technology. In this course, you will learn how to design a 'Transformer-based deep learning model' that simultaneously reads macroeconomic trends and the movements of individual assets, and how to automatically train and deploy it in a free GPU environment. In particular, by introducing sophisticated data normalization techniques on par with those used by hedge funds, you will build an 'intelligent comprehensive scoring system' that goes beyond simple indicators to incorporate news sentiment. On top of that, an ‘AI safety gate’ infused with the insight of a trader with 20 years of Wall Street experience adds a final layer of conviction from the perspective of a human trader just before a purchase. Going beyond simple buying and selling, you will implement the entire process of an institutional-grade algorithmic system yourself—including dynamic take-profit and stop-loss logic, eight self-recovery mechanisms, and real-time Slack reports.

3 projects that compress 20 carefully selected concepts will build 80% of your n8n skills.

Do you want to create a tool that can help you with your real-world investments using Python? In this course, you will learn how to create an interactive web dashboard for financial data analysis for intermediate Python users and learn about pair trading strategies for in-depth quantitative work. We hope that you will be able to create your own useful analysis tools to help you analyze financial data more powerfully and make wise investment decisions.

Automate YouTube Shorts creation with AI!! Learn how to automatically create YouTube Shorts using n8n from scratch. We will personally build a workflow that handles everything at once: Text → Image/Music → Video Creation → Uploading. Practice includes distinguishing between test/production modes and tips for saving costs. By the end of the lecture, you will complete 3 automation templates that can be used immediately. We will learn step-by-step, starting from node placement, so you can follow along even without coding knowledge. Join us in automating AI YouTube Shorts production!

In this class, you will learn about the principles and methods of analyzing and processing various types of financial data using Python's Pandas library, apply them to situations you may encounter in the real world, and ultimately learn how to implement backtesting based on financial statement data (based on Kang Hwan-guk's book, "You Can Do Quant Investment"). As a result, you can break away from being a "passive investor" who simply follows what others say without verifying or basing the investment logic, and become a "self-directed and active investor" who can freely extract various elements necessary for strategy implementation from data and quantitatively analyze them using Python and Pandas.

No development knowledge needed! Create your own automation system in just a few clicks.

Complete Business Innovation with Google Workspace, Gemini, and NotebookLM! This is a practical course that takes you step-by-step through setting up a Google environment, utilizing Gemini, advanced searching, managing notes/tasks/schedules, using Drive and Photos, collaborating via Gmail/Meet/Chat, working with Docs/Sheets/Slides, creating images and videos, building forms and sites, analyzing data with NotebookLM, and automating tasks using Colab and Apps Script. Rather than a simple introduction to features, the course is centered on hands-on practice that can be immediately applied to real-world work scenarios, such as searching, document drafting, data organization, presentation creation, application processing, rulebook chatbots, schedule registration, and automated survey generation. 🚀 Key Course Points 1. Integrated Smart Work Connecting the Google Ecosystem Google allows you to organically connect and use search, email, calendar, documents, drive, and collaboration tools with a single account. This course helps you master this connection structure centered around your workflow. 2. Immediate AI Application and Automation The course covers document writing, summarization, chatbot configuration, schedule generation, survey creation, and automated email dispatch using Gemini, enabling you to transform repetitive tasks into actual business automation. 3. Data-Based Analysis and Highly Reliable Business Application By utilizing NotebookLM to find answers only within uploaded sources and performing summarization, analysis, learning, and report writing based on citations, you can increase the reliability of your practical work. "Add AI wings to the Google ecosystem." Now, leave the complex tasks to AI agents and focus on more valuable decision-making.

From server setup to blog and YouTube automation, build a complete AI workflow with n8n. We will practice creating a stable operating environment, covering Contabo VPS-based server installation, Ubuntu/Docker/Portainer environment setup, domain connection, and HTTPS security configuration. The course covers Search API and file server development using FastAPI and Docker, Airtable and n8n integration, building blog AI agents, and image/video automation. You will be able to complete a profit-generating automation strategy that can be immediately applied to actual service operations.

Do you want to automate repetitive tasks with AI without using paid tools? I will share the practical know-how I gained from building systems myself using n8n and Llama. This is not a lecture where you simply learn "how to connect nodes." We will build actual workflows that you can use immediately, such as automatic Google Sheets organization, YouTube subtitle collection, AI fact-checking, and schedule management.

Do you still code manually these days? We are now in an era where even "vibe coding" feels like a chore! Become an AI automation expert with n8n, no coding required. A guide to designing automation workflows that can be applied immediately to real-world tasks. Practical automation strategies to maximize work efficiency. Build intuitive workflows with n8n and experience a revolution in the way you work.

One of the greatest challenges I felt while working in HRD at a human resources development center for 12 years was that while I had plenty of ideas, the coding barrier to implementing them was simply too high. This course starts from that very point. The goal of this course is to help HRD professionals implement their own ideas without having to become developers. This is a practical, vibe-coding-based course designed for those in HR, HRD, General Affairs (GA), and Organizational Culture. We will build the services you want using only free features, without the need for paid services.

Repetitive tasks like organizing Excel sheets, sending emails, and categorizing receipts… Are you still doing them manually? Now, leave those tasks to n8n and AI, and focus on what really matters. This course is designed to help anyone implement workflow automation using n8n—a tool that requires no coding—and apply it directly to real-world tasks. In just one hour, you will implement automation from A to Z yourself. Instead of a long 10-hour lecture, we give you only the essential core! To save your time, we focus solely on practical, real-world workflows.

Build a Saju (Four Pillars of Destiny) analysis AI agent that integrates Manseryeok, Astrology, Zi Wei Dou Shu, Onomancy (Name Study), and MBTI using n8n workflows and Python algorithms. We will complete a production-level service system from start to finish where 13 specialized agents collaborate to generate professional-grade Saju reports.

We will teach you all the know-how for YouTube Shorts automation. Stop using expensive external services! Let's create AI videos cost-effectively using open source and libraries!